Please use this identifier to cite or link to this item:
http://oaps.umac.mo/handle/10692.1/218
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | LI, TING WEI(李廷瑋) | - |
dc.date.accessioned | 2021-07-01T10:35:44Z | - |
dc.date.available | 2021-07-01T10:35:44Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Li, T. W. (2020). Neural Network Implementation by Hardware (OAPS)). Retrieved from University of Macau, Outstanding Academic Papers by Students Repository. | en_US |
dc.identifier.uri | http://oaps.umac.mo/handle/10692.1/218 | - |
dc.description.abstract | In modern society, electronic devices such as smart phones, laptops, smart homes, etc. Are playing increasingly significant role in human’s daily life. The hottest topic in recent years, artificial intelligence which is the basic of intelligent life is embedded in these electronic devices. Artificial Neural Network is one of the areas of artificial intelligence, it provides a way to make machines think, recognize and make decisions as human being. However, it is not very common that implementing artificial neural network by hardware. In this project, a typical artificial neural network, which can recognize handwritten numbers is implemented by FPGA. | en_US |
dc.language.iso | en | en_US |
dc.title | Neural Network Implementation by Hardware | en_US |
dc.type | OAPS | en_US |
dc.contributor.department | Department of Electrical and Computer Engineering | en_US |
dc.description.instructor | Dr. VAI MANG I | en_US |
dc.contributor.faculty | Faculty of Science and Technology | en_US |
dc.description.programme | Bachelor of Science in Electrical and Computer Engineering | en_US |
Appears in Collections: | FST OAPS 2020 |
Files in This Item:
File | Description | Size | Format | |
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OAPS_2020_FST_001.pdf | 35.86 MB | Adobe PDF | View/Open |
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